Triple
T19383607
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Shannon Falls |
E484873
|
entity |
| Predicate | rankInBritishColumbiaByHeight |
P136239
|
FINISHED |
| Object | third highest waterfall |
—
|
LITERAL FINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: third highest waterfall | Statement: [Shannon Falls, rankInBritishColumbiaByHeight, third highest waterfall]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: rankInBritishColumbiaByHeight Context triple: [Shannon Falls, rankInBritishColumbiaByHeight, third highest waterfall]
-
A.
rankingInCanadaByHeight
Indicates that entities are ordered or assigned a position based on their height specifically within the context of Canada.
-
B.
populationRankInBritishColumbia
Indicates the relative position of an entity in terms of population size compared to other entities within British Columbia.
-
C.
countryRankByHeight
Indicates the relative position of a country when countries are ordered by the height of something (e.g., average elevation, tallest point, or average citizen height).
-
D.
rankByHeightWorld
Indicates an ordering of entities based on their relative height compared to all others in the world.
-
E.
rankingInUnitedKingdomByHeight
Indicates the position of an entity in an ordered list based on its height within the United Kingdom.
- F. None of above. chosen
Provenance (4 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69d8e8d460d88190abf0591c5c9d2b0c |
completed | April 10, 2026, 12:11 p.m. |
| NER | Named-entity recognition | batch_69e61a626b288190a27a30deb0ccabc3 |
completed | April 20, 2026, 12:21 p.m. |
| PD | Predicate disambiguation | batch_69e4fd602f008190aa9bc76ae17e4ce1 |
completed | April 19, 2026, 4:05 p.m. |
| PDg | Predicate description generation | batch_69e50213571881909cd7543a43b51986 |
completed | April 19, 2026, 4:25 p.m. |
Created at: April 10, 2026, 1:35 p.m.